Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
Jee Hyun Lim, Dae Young Yoon, Eun Soo Kim, Hong Jun Jeon, Jong Young Lee, Young Lan Seo, Eun Joo Yu. CT Angiography, MR Angiography, and Their Combined Use for Detection of Unruptured Intracranial Aneurysms: Comparison with Digital Subtraction Angiography and 3-dimensional Rotational Angiography. Clinical neuroradiology. 2025-01-17. PMID:39820639. |
ct angiography, mr angiography, and their combined use for detection of unruptured intracranial aneurysms: comparison with digital subtraction angiography and 3-dimensional rotational angiography. |
2025-01-17 |
2025-01-20 |
Not clear |
Jee Hyun Lim, Dae Young Yoon, Eun Soo Kim, Hong Jun Jeon, Jong Young Lee, Young Lan Seo, Eun Joo Yu. CT Angiography, MR Angiography, and Their Combined Use for Detection of Unruptured Intracranial Aneurysms: Comparison with Digital Subtraction Angiography and 3-dimensional Rotational Angiography. Clinical neuroradiology. 2025-01-17. PMID:39820639. |
to compare the diagnostic accuracy of ct angiography (cta), mr angiography (mra), and their combined use for detecting unruptured intracranial aneurysms (uias). |
2025-01-17 |
2025-01-20 |
Not clear |
Xiu-Fen Jia, Yong-Chun Chen, Kui-Kui Zheng, Dong-Qin Zhu, Chao Chen, Jinjin Liu, Yun-Jun Yang, Chuan-Ting L. Clinical-Radiomics Nomogram Model Based on CT Angiography for Prediction of Intracranial Aneurysm Rupture: A Multicenter Study. Journal of multidisciplinary healthcare. vol 17. 2024-12-16. PMID:39678712. |
clinical-radiomics nomogram model based on ct angiography for prediction of intracranial aneurysm rupture: a multicenter study. |
2024-12-16 |
2024-12-21 |
Not clear |
Lukas Goertz, Stephanie T Jünger, David Reinecke, Niklas von Spreckelsen, Rahil Shahzad, Frank Thiele, Kai Roman Laukamp, Marco Timmer, Roman Johannes Gertz, Carsten Gietzen, Kenan Kaya, Jan-Peter Grunz, Marc Schlamann, Christoph Kabbasch, Jan Borggrefe, Lenhard Penni. Deep learning-assistance significantly increases the detection sensitivity of neurosurgery residents for intracranial aneurysms in subarachnoid hemorrhage. Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia. vol 132. 2024-12-14. PMID:39673838. |
the purpose of this study was to evaluate the effectiveness of a deep learning model (dlm) in improving the sensitivity of neurosurgery residents to detect intracranial aneurysms on ct angiography (cta) in patients with aneurysmal subarachnoid hemorrhage (asah). |
2024-12-14 |
2024-12-21 |
Not clear |
Shigeki Takada, Takahiko Kamata, Haruki Yamashita, Shota Ogasawara, Nobutake Sadamasa, Waro Tak. False-Negative Motor-Evoked Potential Due to Contrast-Induced Encephalopathy During Coil Embolization for Intracranial Aneurysm: A Case Report. Cureus. vol 16. issue 11. 2024-11-14. PMID:39540192. |
therefore, in patients who develop motor weakness immediately after coil embolization for intracranial aneurysms without changes in tcmep, brain ct should be performed to exclude cie. |
2024-11-14 |
2024-11-17 |
Not clear |
Yi Yang, Zhenyao Chang, Xin Nie, Jun Wu, Jingang Chen, Weiqi Liu, Hongwei He, Shuo Wang, Chengcheng Zhu, Qingyuan Li. Integrated Deep Learning Model for the Detection, Segmentation, and Morphologic Analysis of Intracranial Aneurysms Using CT Angiography. Radiology. Artificial intelligence. 2024-11-06. PMID:39503602. |
integrated deep learning model for the detection, segmentation, and morphologic analysis of intracranial aneurysms using ct angiography. |
2024-11-06 |
2024-11-08 |
Not clear |
Sammy Allaw, Kameel Khabaz, Tyler C Given, Dominic M Montas, Roberto J Alcazar-Felix, Abhinav Srinath, Tareq Kass-Hout, Timothy J Carroll, Michael C Hurley, Sean P Polste. A review of intracranial aneurysm imaging modalities, from CT to state-of-the-art MR. AJNR. American journal of neuroradiology. 2024-10-23. PMID:39443148. |
a review of intracranial aneurysm imaging modalities, from ct to state-of-the-art mr. |
2024-10-23 |
2024-10-26 |
Not clear |
Xiaolin Hou, Tao Wu, Dingjun Li, Yuan Yao, Lin Zen. Enhanced Preoperative Planning for Intracranial Aneurysms Through Multimodal Image Fusion of Silent/Time-of-Magnetic Resonance Angiography and Computed Tomography Using 3DSlicer: A Comparative Efficacy Analysis With Computed Tomography Angiography. The neurologist. 2024-09-23. PMID:39311429. |
this study evaluates the effectiveness of multimodal image fusion (mif) using silent and time-of-flight (tof) magnetic resonance angiography (mra) and computed tomography (ct) for preoperative planning in patients with intracranial aneurysms who have contraindications to contrast media. |
2024-09-23 |
2024-09-26 |
Not clear |
Fumiyo Higaki, Masafumi Hiramatsu, Takao Yasuhara, Susumu Sasada, Yoshihiro Otani, Jun Haruma, Tomohiro Inoue, Yusuke Morimitsu, Noriaki Akagi, Yusuke Matsui, Toshihiro Iguchi, Takao Hirak. Cranial and spinal computed tomography (CT) angiography with photon-counting detector CT: comparison with angiographic and operative findings. Japanese journal of radiology. 2024-09-16. PMID:39283532. |
in the cases of cerebral aneurysms, flow diverters are important tools for the treatment of intracranial aneurysms, and postoperative evaluation with cone beam ct with angiography using diluted contrast media is performed to evaluate stent adhesion and in-stent thrombosis. |
2024-09-16 |
2024-09-19 |
Not clear |
Hujin Xie, Han Yu, Hao Wu, Jiaqiu Wang, Shanglin Wu, Jianjian Zhang, Huilin Zhao, Mingyang Yuan, Jessica Benitez Mendieta, Haveena Anbananthan, Craig Winter, Chengcheng Zhu, Zhiyong L. Quantifying irregular pulsation of intracranial aneurysms using 4D-CTA. Journal of biomechanics. vol 174. 2024-08-11. PMID:39128410. |
this study aims to quantify irregular pulsations by the displacement and strain distribution of the intracranial aneurysm surface during the cardiac cycle using four-dimensional ct angiographic image data. |
2024-08-11 |
2024-08-14 |
Not clear |
Kishore Rajendran, Ajay A Madhava. Optimizing Photon-Counting Detector CT for Imaging Intracranial Aneurysms. AJNR. American journal of neuroradiology. 2024-08-09. PMID:39122465. |
optimizing photon-counting detector ct for imaging intracranial aneurysms. |
2024-08-09 |
2024-08-13 |
Not clear |
Adrienn Tóth, Justin A Chetta, Milad Yazdani, M Gisele Matheus, Jim O'Doherty, Sameer V Tipnis, M Vittoria Spampinat. Neurovascular Imaging with Ultra-High-Resolution Photon-Counting CT: Preliminary Findings on Image-Quality Evaluation. AJNR. American journal of neuroradiology. 2024-08-01. PMID:38760079. |
the purpose of this study was to assess the image quality of ultra-high-resolution photon-counting detector ct compared with energy-integrating detector ct and to explore different reconstruction kernel sharpness levels for the evaluation of intracranial aneurysms. |
2024-08-01 |
2024-08-05 |
Not clear |
Huizhong Zheng, Xinfeng Liu, Zhenxing Huang, Yan Ren, Bin Fu, Tianliang Shi, Lu Liu, Qiping Guo, Tian Chong, Dong Liang, Rongpin Wang, Jie Chen, Zhanli H. Deep learning for intracranial aneurysm segmentation using CT angiography. Physics in medicine and biology. 2024-07-15. PMID:39008990. |
deep learning for intracranial aneurysm segmentation using ct angiography. |
2024-07-15 |
2024-07-18 |
Not clear |
Sha Luo, Li Wen, Yang Jing, Jingxu Xu, Chencui Huang, Zhang Dong, Guangxian Wan. A simple and effective machine learning model for predicting the stability of intracranial aneurysms using CT angiography. Frontiers in neurology. vol 15. 2024-07-04. PMID:38962476. |
a simple and effective machine learning model for predicting the stability of intracranial aneurysms using ct angiography. |
2024-07-04 |
2024-07-10 |
Not clear |
Zhao Shi, Bin Hu, Mengjie Lu, Zijian Chen, Manting Zhang, Yizhou Yu, Changsheng Zhou, Jian Zhong, Bingqian Wu, Xueming Zhang, Yongyue Wei, Long Jiang Zhan. Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)-a protocol for a multicenter, double-blinded randomized controlled trial. Trials. vol 25. issue 1. 2024-06-05. PMID:38835091. |
assessing the impact of an artificial intelligence-based model for intracranial aneurysm detection in ct angiography on patient diagnosis and outcomes (ideal study)-a protocol for a multicenter, double-blinded randomized controlled trial. |
2024-06-05 |
2024-06-07 |
Not clear |
Zhao Shi, Bin Hu, Mengjie Lu, Zijian Chen, Manting Zhang, Yizhou Yu, Changsheng Zhou, Jian Zhong, Bingqian Wu, Xueming Zhang, Yongyue Wei, Long Jiang Zhan. Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)-a protocol for a multicenter, double-blinded randomized controlled trial. Trials. vol 25. issue 1. 2024-06-05. PMID:38835091. |
this multicenter, double-blinded, randomized controlled trial (rct) aims to assess the impact of an artificial intelligence (ai)-based model on the efficacy of intracranial aneurysm detection in ct angiography (cta) and its influence on patients' short-term and long-term outcomes. |
2024-06-05 |
2024-06-07 |
Not clear |
Kun Bai, Tiantian Wang, Guozhi Zhang, Ming Zhang, Hongchao Fu, Yun Feng, Kaiyi Lian. Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography. Acta radiologica (Stockholm, Sweden : 1987). 2024-06-05. PMID:38839094. |
improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical ct angiography. |
2024-06-05 |
2024-06-08 |
Not clear |
Kun Bai, Tiantian Wang, Guozhi Zhang, Ming Zhang, Hongchao Fu, Yun Feng, Kaiyi Lian. Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography. Acta radiologica (Stockholm, Sweden : 1987). 2024-06-05. PMID:38839094. |
the diagnostic impact of deep learning computed tomography (ct) reconstruction on intracranial aneurysm (ia) remains unclear. |
2024-06-05 |
2024-06-08 |
Not clear |
Pae Sun Suh, Seung Chai Jung, Hye Hyeon Moon, Yun Hwa Roh, Yunsun Song, Minjae Kim, Jungbok Lee, Keum Mi Cho. Diagnosis of Unruptured Intracranial Aneurysms Using Proton-Density Magnetic Resonance Angiography: A Comparison With High-Resolution Time-of-Flight Magnetic Resonance Angiography. Korean journal of radiology. vol 25. issue 6. 2024-05-29. PMID:38807339. |
differentiating intracranial aneurysms from normal variants using ct angiography (cta) or mr angiography (mra) poses significant challenges. |
2024-05-29 |
2024-06-02 |
Not clear |
Bin Hu, Zhao Shi, Li Lu, Zhongchang Miao, Hao Wang, Zhen Zhou, Fandong Zhang, Rongpin Wang, Xiao Luo, Feng Xu, Sheng Li, Xiangming Fang, Xiaodong Wang, Ge Yan, Fajin Lv, Meng Zhang, Qiu Sun, Guangbin Cui, Yubao Liu, Shu Zhang, Chengwei Pan, Zhibo Hou, Huiying Liang, Yuning Pan, Xiaoxia Chen, Xiaorong Li, Fei Zhou, U Joseph Schoepf, Akos Varga-Szemes, W Garrison Moore, Yizhou Yu, Chunfeng Hu, Long Jiang Zhan. A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study. The Lancet. Digital health. vol 6. issue 4. 2024-03-22. PMID:38519154. |
a deep-learning model for intracranial aneurysm detection on ct angiography images in china: a stepwise, multicentre, early-stage clinical validation study. |
2024-03-22 |
2024-03-25 |
Not clear |